# io.github.m2ai-mcp-servers/mcp-ratchet-clinical-charting

> Use this tool when you need to document patient visits and update electronic medical records (EMRs) efficiently. It solves the problem of manual data entry and streamlines clinical charting by integrating with Claude, allowing for seamless documentation of patient interactions. The tool takes in patient visit information and outputs updated EMR records, making it ideal for healthcare professionals seeking to automate clinical charting workflows.

Canonical page: https://skillsregistry.net/skills/io-github-m2ai-mcp-servers-mcp-ratchet-clinical-charting  
JSON: https://api.skillsregistry.net/v1/skills/io-github-m2ai-mcp-servers-mcp-ratchet-clinical-charting

## Description

MCP server for clinical charting with Claude - document patient visits to EMR

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.m2ai-mcp-servers%2Fmcp-ratchet-clinical-charting)
- **Repository:** <https://github.com/m2ai-mcp-servers/mcp-ratchet-clinical-charting>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "io-github-m2ai-mcp-servers-mcp-ratchet-clinical-charting"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-m2ai-mcp-servers-mcp-ratchet-clinical-charting` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-m2ai-mcp-servers-mcp-ratchet-clinical-charting/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt